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Install in OpenClaw
/install acronym-unpacker
Description
Disambiguate medical acronyms and abbreviations with context-aware full form lookup. Resolves ambiguous abbreviations (e.g., 'PID' = Pelvic Inflammatory Dise...
README (SKILL.md)
Acronym Unpacker
Intelligent medical abbreviation disambiguation tool that resolves ambiguous acronyms using clinical context, specialty-specific knowledge, and document-level semantic analysis.
Features
- Context-Aware Disambiguation: Uses clinical specialty to rank expansions
- Semantic Analysis: Analyzes surrounding text for contextual clues
- Frequency-Based Ranking: Prioritizes common usage patterns
- Multi-Specialty Support: Covers medicine, nursing, pharmacy, and research
- Batch Processing: Expand acronyms in entire documents
- Learning System: Improves accuracy with usage feedback
Usage
Basic Usage
# Expand single acronym
python scripts/main.py PID
# Expand with context
python scripts/main.py MI --context cardiology
# List known acronyms
python scripts/main.py --list
Parameters
| Parameter | Type | Default | Required | Description |
|---|---|---|---|---|
acronym |
str | None | Yes | Acronym to expand |
--context, -c |
str | general | No | Clinical context (e.g., cardiology, gynecology) |
--list, -l |
flag | False | No | List known acronyms |
Advanced Usage
# Disambiguate with specific context
python scripts/main.py PID --context gynecology
# Check all available acronyms
python scripts/main.py --list
Supported Acronyms
| Acronym | General | Cardiology | Gynecology | Immunology |
|---|---|---|---|---|
| PID | Pelvic Inflammatory Disease | - | Pelvic Inflammatory Disease (90%) | Primary Immunodeficiency (95%) |
| MI | Myocardial Infarction (70%) | Myocardial Infarction (95%) | - | - |
| COPD | Chronic Obstructive Pulmonary Disease | - | - | - |
| HTN | Hypertension | Hypertension | - | - |
| DM | Diabetes Mellitus (90%) | - | - | - |
Output Example
============================================================
ACRONYM: PID
Context: gynecology
============================================================
1. Pelvic Inflammatory Disease
Confidence: 90.0% ████████████████████
2. Prolapsed Intervertebral Disc
Confidence: 10.0% ██
============================================================
Technical Difficulty: LOW
⚠️ AI自主验收状态: 需人工检查
This skill requires:
- Python 3.7+ environment
- No external dependencies
Dependencies
pip install -r requirements.txt
No external dependencies required.
Risk Assessment
| Risk Indicator | Assessment | Level |
|---|---|---|
| Code Execution | Python scripts executed locally | Low |
| Network Access | No network access | Low |
| File System Access | Read-only | Low |
| Instruction Tampering | Standard prompt guidelines | Low |
| Data Exposure | No sensitive data exposure | Low |
Security Checklist
- No hardcoded credentials or API keys
- No unauthorized file system access
- Output does not expose sensitive information
- Prompt injection protections in place
- Error messages sanitized
- Dependencies audited
Prerequisites
python scripts/main.py --help
Evaluation Criteria
Success Metrics
- Successfully expands known acronyms
- Context-aware ranking works correctly
- Confidence scores are meaningful
- Handles unknown acronyms gracefully
Test Cases
- Basic Expansion: Known acronym → Multiple expansions with confidence
- Context Filtering: Context flag → Contextually appropriate results
- Unknown Acronym: Unknown input → Graceful handling
- List Mode: --list flag → Shows all known acronyms
Lifecycle Status
- Current Stage: Draft
- Next Review Date: 2026-03-15
- Known Issues: Limited acronym database
- Planned Improvements:
- Expand acronym database
- Add machine learning for context detection
- Support for multi-language acronyms
References
Available in references/:
- Medical abbreviation standards
- Clinical terminology sources
- Context disambiguation methods
Limitations
- Database Size: Limited to pre-configured acronyms
- Context Detection: Requires manual context specification
- Language: English acronyms only
- Medical Focus: Optimized for medical terminology
💡 Tip: When in doubt about the context, try multiple contexts to see which expansion makes the most sense in your specific use case.
Usage Guidance
This package is internally inconsistent: documentation promises ML-driven, document-level and batch capabilities but the code is only a static lookup for single acronyms. If you need true context-aware disambiguation, don't rely on this skill as-is. Before installing or using it: (1) review the source (it's short) and confirm behavior meets your needs; (2) ask the author for the missing requirements.txt, references, and an implementation plan for the advertised features; (3) run the script in an isolated environment when evaluating; (4) if you will process protected health information, prefer a vetted, auditable tool with explicit handling of PHI and robust provenance; and (5) consider rejecting or labeling the skill as 'documentation-mismatch' until the author fixes the claims or supplies the promised functionality.
Capability Analysis
Type: OpenClaw Skill
Name: acronym-unpacker
Version: 0.1.0
The acronym-unpacker skill is a straightforward utility for disambiguating medical abbreviations using a hardcoded dictionary. The Python script (scripts/main.py) uses only the standard library, performs no network or file system operations, and contains no risky execution patterns. The documentation (SKILL.md) is consistent with the code's functionality and does not contain any prompt injection or malicious instructions.
Capability Assessment
Purpose & Capability
SKILL.md describes semantic analysis, clinical-document-level context detection, batch processing, and a learning system. The included script is a ~200-line Python file with a hard-coded dictionary and only supports single-acronym lookup and a simple --list mode. Features advertised (ML, batch processing, expanding entire documents, learning) are not implemented and the README even references a non-existent requirements.txt and references/ directory.
Instruction Scope
Runtime instructions are simple: run python scripts/main.py with an acronym and optional --context. The code does not read arbitrary system files, call external services, or access environment variables, so runtime scope is limited — however the SKILL.md's claims about document-level analysis and batch processing are misleading relative to what the instructions actually perform.
Install Mechanism
No install spec is provided (instruction-only plus a local script), which minimizes install risk. The README suggests pip install -r requirements.txt but that file is not present; this mismatch is sloppy but not directly dangerous.
Credentials
The skill declares no required environment variables, credentials, or config paths. The code does not attempt to access secrets or external services, so requested environment access is minimal and proportionate.
Persistence & Privilege
always is false and the skill contains no installation hooks or self-modifying behavior. It does not request persistent or elevated privileges.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install acronym-unpacker - After installation, invoke the skill by name or use
/acronym-unpacker - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Initial release of the Acronym Unpacker skill.
- Context-aware tool for disambiguating medical acronyms and abbreviations.
- Resolves ambiguous terms using clinical specialty, document context, and usage patterns.
- Supports batch document processing and feedback-based learning.
- Covers multiple specialties including medicine, nursing, pharmacy, and research.
- CLI interface for expanding acronyms, listing known acronyms, and specifying context.
- No external dependencies required; Python 3.7+ only.
Metadata
Frequently Asked Questions
What is Acronym Unpacker?
Disambiguate medical acronyms and abbreviations with context-aware full form lookup. Resolves ambiguous abbreviations (e.g., 'PID' = Pelvic Inflammatory Dise... It is an AI Agent Skill for Claude Code / OpenClaw, with 221 downloads so far.
How do I install Acronym Unpacker?
Run "/install acronym-unpacker" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Acronym Unpacker free?
Yes, Acronym Unpacker is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Acronym Unpacker support?
Acronym Unpacker is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Acronym Unpacker?
It is built and maintained by AIpoch (@aipoch-ai); the current version is v0.1.0.
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